Salient Networks: A Novel Application to Study Brain Connectivity. - Nicola Amoroso; Roberto Bellotti; Domenico Diacono; Marianna La Rocca; Sabina Tangaro (IWBBIO (1), 2017)

Complex networks reveal early MRI markers of Parkinson's disease. - Nicola Amoroso; Marianna La Rocca; Alfonso Monaco; Roberto Bellotti; Sabina Tangaro (Medical Image Anal., 2018)

A Machine Learning Model to Predict Seizure Susceptibility from Resting-State fMRI Connectivity. - Rachael Garner; Marianna La Rocca; Giuseppe Barisano; Arthur W. Toga; Dominique Duncan; Paul M. Vespa (SpringSim, 2019)

Prediction of epilepsy development in traumatic brain injury patients from diffusion weighted MRI. - Md Navid Akbar; Marianna La Rocca; Rachael Garner; Dominique Duncan; Deniz Erdogmus (PETRA, 2020)

The Effects of Filtering on High Frequency Oscillation Classification. - Jiaju Liu; Rachael Garner; Marianna La Rocca; Eun-Kee Bae; Dominique Duncan (SpringSim, 2020)

Machine Learning of Diffusion Weighted Imaging for Prediction of Seizure Susceptibility Following Traumatic Brain Injury. - Akul Sharma; Rachael Garner; Marianna La Rocca; Celina Alba; Yenlin Lee; Karina Yang; Maya Brawer-Cohen; Dominique Duncan (ANNSIM, 2021)

Automatic Detection of EEG Epileptiform Abnormalities in Traumatic Brain Injury using Deep Learning. - Razieh Faghihpirayesh; Sebastian F. Ruf; Marianna La Rocca; Rachael Garner; Paul M. Vespa; Deniz Erdogmus; Dominique Duncan (EMBC, 2021)

Lesion Normalization and Supervised Learning in Post-traumatic Seizure Classification with Diffusion MRI. - Md Navid Akbar; Sebastian F. Ruf; Marianna La Rocca; Rachael Garner; Giuseppe Barisano; Ruskin Cua; Paul M. Vespa; Deniz Erdogmus; Dominique Duncan (CDMRI@MICCAI, 2021)

Predicting brain age with complex networks: From adolescence to adulthood. - Loredana Bellantuono; Luca Marzano; Marianna La Rocca; Dominique Duncan; Angela Lombardi; Tommaso Maggipinto; Alfonso Monaco; Sabina Tangaro; Nicola Amoroso; Roberto Bellotti (NeuroImage, 2021)

ABSTRACT: Evaluation of Transfer Learning Models on Detection of COVID-19 Using Multi-Modal Data. - Alexis Bennett; Rachael Garner; Marianna La Rocca; Ali Valehi; Dominique Duncan (DCOSS, 2022)

Efficient and visualizable convolutional neural networks for COVID-19 classification using Chest CT. - Aksh Garg; Sana Salehi; Marianna La Rocca; Rachael Garner; Dominique Duncan (Expert Syst. Appl., 2022)

A Novel Threshold-Based Segmentation Method for Quantification of COVID-19 Lung Abnormalities. - Azrin Khan; Rachael Garner; Marianna La Rocca; Sana Salehi; Dominique Duncan (Signal Image Video Process., 2023)

Cognitive Electronic Unit for Assisted Ultrasound: Preliminary Results and Future Perspectives. - Emanuele De Luca; Emanuele Amato; Vincenzo Valente; Marianna La Rocca; Tommaso Maggipinto; Roberto Bellotti; Francesco Dell'Olio (CPS Summer School, PhD Workshop, 2024)

Advancing post-traumatic seizure classification and biomarker identification: Information decomposition based multimodal fusion and explainable machine learning with missing neuroimaging data. - Md Navid Akbar; Sebastian F. Ruf; Ashutosh Singh; Razieh Faghihpirayesh; Rachael Garner; Alexis Bennett; Celina Alba; Marianna La Rocca; Tales Imbiriba; Deniz Erdogmus; Dominique Duncan (Comput. Medical Imaging Graph., 2024)

Estimation of Daily Ground Level Air Pollution in Italian Municipalities with Machine Learning Models Using Sentinel-5P and ERA5 Data. - Alessandro Fania; Alfonso Monaco; Ester Pantaleo; Tommaso Maggipinto; Loredana Bellantuono; Roberto Cilli; Antonio Lacalamita; Marianna La Rocca; Sabina Tangaro; Nicola Amoroso; Roberto Bellotti (Remote. Sens., 2024)

Exploring Aesthetic Perception in Impaired Aging: A Multimodal Brain - Computer Interface Study. - Livio Clemente; Marianna La Rocca; Giulia Paparella; Marianna Delussi; Giusy Tancredi; Katia Ricci; Giuseppe Procida; Alessandro Introna; Antonio Brunetti; Paolo Taurisano; Vitoantonio Bevilacqua; Marina de Tommaso (Sensors, 2024)